Yellow.ai

More than one hundred and fifty prebuilt enterprise integrations spanning CRM, CCaaS, help desk, ITSM and enterprise systems, named to include Salesforce, Zendesk, Genesys and NICE, with a documented deep integration into Epic on the healthcare surface, a specific system-of-record connection. Agents act inside those systems as part of resolution rather than only reading from them, and the builder supports scripting for cases the prebuilt set does not cover.

SourceYellow.ai platform, AI Agent Builder and healthcare pagesread 2026-09-05

Multi-agent orchestration with a named coordinating layer. Yellow.ai publishes a super agent that automatically orchestrates multiple requests and assigns tasks to domain agents or transfers to a human agent while retaining context, with conversations transferable between AI agents as well as escalated out.

AI Agent Builder is presented as design, orchestrate and deploy in one surface, driven by a goal-first no-code builder on a multi-LLM architecture producing dynamic goal-oriented conversations rather than fixed scripts, and agents manage shifts in conversation by switching context without losing the original goal. Multimodal input across text, image and voice feeds the same reasoning.

SourceYellow.ai AI Agent Builder and platform pagesread 2026-09-05

Conversational KB is a named platform module delivering enterprise knowledge through agentic retrieval, grounding answers in the customer's own corpus rather than a fixed FAQ, and the analytics layer closes the loop by generating knowledge base articles from analyzed conversations, so the structure is maintained from live traffic rather than loaded once.

SourceYellow.ai platform and AI Agent Builder pagesread 2026-09-05

Escalation and change control are documented; a runtime gate is not. Conversations transfer between AI agents or escalate to a human agent for complex needs, with the super agent handing off while retaining context, and Yellow.ai names robust guardrails and Responsible AI principles protecting sensitive data.

On the configuration side, teams can save different versions of an agent and roll back to any past version or revert changes, which is a real control over what is live. No pre-send approval step, autonomy ceiling or guardrail configuration surface is documented, so guardrails are asserted as a property rather than exposed as something an operator sets.

SourceYellow.ai AI Agent Builder, homepage and platform pagesread 2026-09-05

SOC 2 Type II, ISO 27001, ISO 27018, ISO 27701, HIPAA, GDPR and PDPA, with PII masked at the data layer, TLS 1.3 in transit and AES 256 at rest, role based access, SSO via Google, Microsoft, ADFS and Azure AD at platform level and AD, LDAP, SAML and OAuth2 at bot level, plus documented penetration testing and vulnerability management covering WAF, DDoS, IPS and IDS.

Sourceyellow.airead 2026-09-05

Performance analytics and configuration history are documented; per-run tracing is not. The Analyze module supplies agent performance analytics positioned as actively improving agents rather than passive dashboards, analyzing conversations and optimizing responses in real time, with real-time trend monitoring alongside.

AI Agent Builder adds version history: teams save different versions of an agent and can roll back to any past version or revert changes, which is a record of what was live when. No per-decision reasoning trace, tool-call log or retrieval record for an individual run is documented, and version history records what changed without documenting who changed it or when, so it is change control rather than an audit trail.

SourceYellow.ai AI Agent Builder and platform pagesread 2026-09-05

Context persists across an interaction and across channels, carried by the orchestration layer so a customer moving from email to WhatsApp or chat to voice does not repeat themselves, and the super agent retains context when handing between domain agents or to a human. This is session and cross-channel continuity rather than a persistent agent memory store spanning separate conversations, and no scope, lifetime or deletion control for retained customer state is documented.

SourceYellow.ai AI Agent Builder and platform pagesread 2026-09-05

Terms of service commit contractually to customer selected data residency across India, the Middle East, Asia, Indonesia, Singapore, the USA and the European Union, chosen by the customer at registration to meet legal, regulatory and contractual requirements, with a documented default assignment rule where no choice is made.

Sourceyellow.airead 2026-09-05

Industry-specific prebuilt solutions are published for verticals including healthcare, retail and banking, alongside more than one hundred and fifty prebuilt integrations and prebuilt building blocks in the drag-and-drop builder. No agent template library, marketplace or named catalog of prebuilt agents a buyer browses and puts into service is documented; the domain agents the super agent delegates to are architectural components of a build rather than assets adopted as units.

SourceYellow.ai AI Agent Builder and industry pagesread 2026-09-05

Breadth plus initiation: more than thirty-five channels across more than one hundred and thirty-five languages, with context carried when a customer switches channel, for example email to WhatsApp or chat to voice, and the orchestration layer preserving that context across the move.

Voice is a first-class product rather than text-to-speech bolted on, with dedicated voice agents for IVR replacement, outbound calling and verification, and outbound calling plus SMS and MMS give the agent an initiating path rather than only a receiving one. Agents accept multimodal input across text, image and voice.

SourceYellow.ai AI Agent Builder, platform pages and terms of serviceread 2026-09-05

The customer chooses the model. Yellow.ai publishes a multi-LLM architecture spanning more than fifteen large language models with the customer selecting the best-fit model per task, stated expressly to preserve flexibility to adopt superior models as they emerge and to avoid single-vendor pricing and capability constraints, alongside a proprietary DynamicNLP engine. Several model families are in play, and selection sits with the buyer rather than the vendor.

SourceYellow.ai platform and AI Agent Builder pagesread 2026-09-05

A fully public documentation site at docs.yellow.ai carries an API reference covering authentication, first call, webhooks, events and a published OpenAPI specification, with a RESTful API managing user data, user events, outbound notifications and email ticketing. Mobile chat SDKs for React Native and Flutter ship under Apache 2.0 on public repositories and package registries, and Yellow.ai runs its own Docs MCP server giving Claude, ChatGPT or Cursor cited access to the documentation.

SourceYellow.ai developer documentation and API reference; docs.yellow.ai/apiread 2026-09-05

Two named testing products ship on the platform: automated testing positioned on shipping reliable agents faster, and an AI Copilot for previewing, testing, debugging and refining agents, with version save and rollback letting a team revert a change that tests badly. The Analyze module runs the loop after launch, analyzing conversations and optimizing responses in real time. That gives a gate on the release path, a way back from a bad release, and a scored loop in production, with the customer's own agent as the artifact under test.

SourceYellow.ai AI Agent Builder and platform pagesread 2026-09-05

No browser control, hosted session or computer use appears anywhere on Yellow.ai's platform pages. Agents act through more than one hundred and fifty prebuilt enterprise integrations and reach people across more than thirty-five conversational channels, rather than by operating a browser or a human interface. Multimodal input covering text, image and voice is comprehension rather than control of an interface.

SourceYellow.ai AI Agent Builder and platform pagesread 2026-09-05